The new SUMPOT to predict postoperative complications using an Artificial Neural Network

An accurate assessment of preoperative risk may improve use of hospital resources and reduce morbidity and mortality in high-risk surgical patients. This study aims at implementing an automated surgical risk calculator based on Artificial Neural Network technology to identify patients at risk for po...

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Detalles Bibliográficos
Autores principales: Chelazzi, Cosimo, Villa, Gianluca, Manno, Andrea, Ranfagni, Viola, Gemmi, Eleonora, Romagnoli, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608915/
https://www.ncbi.nlm.nih.gov/pubmed/34811383
http://dx.doi.org/10.1038/s41598-021-01913-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608915/
https://www.ncbi.nlm.nih.gov/pubmed/34811383
http://dx.doi.org/10.1038/s41598-021-01913-z

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